Online/ e-LMS
Self Paced
Moderate
3 Weeks
About
The Advanced Data Visualization Techniques program is crafted to deepen the understanding and application of data visualization tools among advanced scholars and professionals. This course focuses on the practical and strategic use of Pandas, Matplotlib, and Seaborn, with a specialized emphasis on healthcare data, providing participants the skills to visualize complex datasets and communicate findings effectively.
Aim
This program aims to equip PhD scholars and academicians with unparalleled expertise in data visualization using Pandas, Matplotlib, and Seaborn, tailored specifically for healthcare data. The curriculum is designed to foster advanced analytical skills, enhance visual storytelling capabilities, and prepare participants to lead data-driven decisions in research and clinical environments.
Program Objectives
- Master the use of Pandas, Matplotlib, and Seaborn for advanced data visualization.
- Apply data visualization techniques to interpret and analyze healthcare data.
- Develop interactive visualizations to facilitate dynamic data exploration.
- Enhance ability to communicate complex analytical results to non-technical stakeholders.
- Lead and innovate in data visualization within the healthcare sector.
Program Structure
Module 1: Introduction to Advanced Data Visualization
- Principles of Data Visualization
- Review of Tools: Pandas, Matplotlib, Seaborn
- Emerging Trends in Visualization
- AI-driven visual analytics
- Augmented Reality (AR) for data presentation
Module 2: Advanced Data Handling with Pandas
- Advanced Data Manipulation Techniques
- Time-Series Data Analysis for Healthcare Datasets
- Handling Big Data
- Techniques for managing and visualizing large-scale datasets efficiently
Module 3: Creating Visualizations with Matplotlib
- Advanced Plotting Techniques
- Customizing Plots for Scientific Communication
- Automation of Plot Adjustments
- Using scripts to dynamically adjust visualizations based on user interaction or data changes
Module 4: Statistical Data Visualization with Seaborn
- Visualization of Statistical Models
- Multi-Variable Analysis for Complex Data Sets
- Advanced Statistical Plots
- Integrating complex statistical concepts into visualizations to enhance interpretation
Module 5: Interactive and Real-Time Visualization
- Building Interactive Dashboards with Plotly
- Real-Time Data Visualization Strategies
- Streaming Data Visualization
- Techniques for visualizing streaming data in real-time for immediate decision-making
Module 6: Healthcare Data Application
- Case Studies: Visualizing Clinical Trial Data
- Public Health Data Visualization and Reporting
- Visual Epidemiology
- Using visualization techniques to track and predict disease outbreaks
Module 7: Capstone Project
- Integrating Visualization Tools to Analyze a Large Healthcare Dataset
- Presentation of Insights and Strategic Recommendations
- Data Storytelling
- Crafting compelling narratives with data to influence health policy and patient care strategies
Module 8: Ethical Implications of Data Visualization
- Transparency and Bias in Visual Representations
- Addressing how visual design choices can influence perception and decisions
- Ethical Use of Healthcare Data
- Ensuring patient privacy and data security in visualization projects
Participant’s Eligibility
Targeted at professionals and academics with a background in data science, biostatistics, or healthcare analytics, this program requires foundational knowledge in Python programming and basic statistics.
Program Outcomes
- Proficient in advanced data visualization techniques.
- Skilled in handling and visualizing complex healthcare datasets.
- Capable of designing interactive data presentations.
- Equipped to lead data-centric projects in healthcare environments.
- Ready to communicate intricate data insights effectively.
Fee Structure
Standard Fee: INR 7,998 USD 118
Discounted Fee: INR 3999 USD 59
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
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Key Takeaways
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
Exam | Weightage |
---|---|
Mid Term Assignments | 50 % |
Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- Chief Data Officer in Healthcare
- Healthcare Data Analyst
- Clinical Data Scientist
- Biostatistics Director
- Public Health Analyst
- Data Visualization Consultant
Job Opportunities
- Hospitals and Healthcare Systems
- Biotech and Pharmaceutical Companies
- Public Health Organizations
- Academic and Research Institutions
- Private Consultancy Firms
- Government Health Departments
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